Learning Types
32,670 papers (1 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Representation Learning (5,307)
Multimodal Learning (3,969)
Self-Supervised Learning (3,492)
Transfer Learning (2,890)
Adversarial Learning (2,199)
Deep Learning (1,883)
Contrastive Learning (1,730)
Reinforcement Learning (1,500)
Knowledge Distillation (1,494)
Fine-Tuning (1,117)
Multi-Task Learning (1,069)
Domain Adaptation (977)
Zero-Shot Learning (758)
Unsupervised Learning (734)
Few-Shot Learning (694)
Classification (621)
Retrieval-Augmented Generation (606)
Data Augmentation (583)
Semi-Supervised Learning (450)
Weakly Supervised Learning (429)
Continual Learning (408)
In-Context Learning (387)
Sequence Modeling (375)
Meta-Learning (252)
Metric Learning (232)
Ensemble Learning (223)
Federated Learning (215)
Multi-Lingual Learning (199)
Robustness (197)
Parameter-Efficient Fine-Tuning (190)
Imitation Learning (180)
Prompt Engineering (170)
Chain-of-Thought Reasoning (153)
Curriculum Learning (146)
Synthetic Data Generation (143)
Reinforcement Learning from Human Feedback (141)
Multi-Label Classification (123)
Regression (117)
Generative Model (109)
Semantic Segmentation (106)
Domain Generalization (105)
Uncertainty Quantification (98)
Controllable Generation (93)
Text Generation (86)
Neural Architecture Search (80)
Object Detection (80)
Image Generation (79)
Multi-Agent Systems (76)
Feature Learning (74)
Preference Learning (73)
Machine Translation (71)
Out-of-Distribution Detection (68)
Machine Unlearning (63)
Generation (61)
Reasoning (54)
Multi-View Learning (53)
Time Series (52)
Instruction Tuning (50)
Distributed Learning (50)
Image Restoration (49)
Chain-of-Thought (48)
Active Learning (47)
Text Classification (43)
Distribution Shift (43)
Structured Prediction (42)
Clustering (41)
Image Classification (40)
Model Merging (37)
Sparse Learning (36)
Sequence Labeling (36)
Multi-Instance Learning (35)
Anomaly Detection (33)
Image Processing (33)
Code Generation (31)
Fairness (30)
Robust Learning (28)
Multi-Domain Learning (27)
Supervised Learning (26)
Model-Based RL (25)
Natural Language Generation (24)
Privacy (21)
Multi-Objective Optimization (19)
Multi-Scale Learning (19)
Neural Machine Translation (18)
Causal Inference (14)
Instance Segmentation (9)
Interactive Learning (9)
Multi-Label Learning (9)
Multi-Source Learning (9)
Multi-Class Classification (8)
Papers per year
1
22
25
29
26
38
46
60
109
129
179
310
686
1,294
2,286
3,018
3,254
3,930
4,067
4,819
5,737
2,605
'10
'15
'20
'25
Papers (including subtopics)
Improving Multilingual Neural Machine Translation by Utilizing Semantic and Linguistic Features
ACL 2024
Improving Multi-party Dialogue Generation via Topic and Rhetorical Coherence
EMNLP 2024
Improving Neural Biasing for Contextual Speech Recognition by Early Context Injection and Text Perturbation
Interspeech 2024
Improving Neural Network Generalization on Data-Limited Regression with Doubly-Robust Boosting
AAAI 2024
Improving Neural ODE Training with Temporal Adaptive Batch Normalization
NeurIPS 2024
Improving Offline RL by Blending Heuristics
ICLR 2024
Improving Panoptic Narrative Grounding by Harnessing Semantic Relationships and Visual Confirmation
AAAI 2024
Improving Recall of Large Language Models: A Model Collaboration Approach for Relational Triple Extraction
COLING 2024
Improving Referring Ability for Biomedical Language Models
EMNLP 2024
Improving Retrieval Augmented Open-Domain Question-Answering with Vectorized Contexts
ACL 2024
Improving Robustness of 3D Point Cloud Recognition from a Fourier Perspective
NeurIPS 2024
Improving robustness to corruptions with multiplicative weight perturbations
NeurIPS 2024
Improving Robustness via Tilted Exponential Layer: A Communication-Theoretic Perspective
AISTATS 2024
Improving Semantic Correspondence with Viewpoint-Guided Spherical Maps
CVPR 2024
Improving Sentence Embeddings with Automatic Generation of Training Data Using Few-shot Examples
ACL 2024
Improving Single Domain-Generalized Object Detection: A Focus on Diversification and Alignment
CVPR 2024
Improving Speech-Based Dysarthria Detection using Multi-task Learning with Gradient Projection
Interspeech 2024
Improving Spoken Language Modeling with Phoneme Classification: A Simple Fine-tuning Approach
EMNLP 2024
Improving Subgroup Robustness via Data Selection
NeurIPS 2024
Improving Text Embeddings with Large Language Models
ACL 2024
Improving the Adversarial Transferability of Vision Transformers with Virtual Dense Connection
AAAI 2024
Improving the Fairness of the Min-Max Game in GANs Training
WACV 2024
Improving the Generalization of Segmentation Foundation Model under Distribution Shift via Weakly Supervised Adaptation
CVPR 2024
Improving the Robustness of Distantly-Supervised Named Entity Recognition via Uncertainty-Aware Teacher Learning and Student-Student Collaborative Learning
ACL 2024
Improving the Robustness of Large Language Models via Consistency Alignment
COLING 2024